提交 b5334047 编写于 作者: W WenmuZhou

Merge branch 'dygraph' of https://github.com/PaddlePaddle/PaddleOCR into fix_doc

......@@ -42,7 +42,7 @@ The above pictures are the visualizations of the general ppocr_server model. For
- Scan the QR code below with your Wechat, you can access to official technical exchange group. Look forward to your participation.
<div align="center">
<img src="./doc/joinus.PNG" width = "200" height = "200" />
<img src="https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/joinus.PNG" width = "200" height = "200" />
</div>
......
......@@ -46,7 +46,7 @@ PaddleOCR同时支持动态图与静态图两种编程范式
- 微信扫描二维码加入官方交流群,获得更高效的问题答疑,与各行各业开发者充分交流,期待您的加入。
<div align="center">
<img src="./doc/joinus.PNG" width = "200" height = "200" />
<img src="https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/joinus.PNG" width = "200" height = "200" />
</div>
## 快速体验
......
......@@ -76,7 +76,7 @@ void CRNNRecognizer::Run(std::vector<std::vector<std::vector<int>>> boxes,
float(*std::max_element(&predict_batch[n * predict_shape[2]],
&predict_batch[(n + 1) * predict_shape[2]]));
if (argmax_idx > 0 && (!(i > 0 && argmax_idx == last_index))) {
if (argmax_idx > 0 && (!(n > 0 && argmax_idx == last_index))) {
score += max_value;
count += 1;
str_res.push_back(label_list_[argmax_idx]);
......
......@@ -32,7 +32,6 @@ class MakeShrinkMap(object):
text_polys, ignore_tags = self.validate_polygons(text_polys,
ignore_tags, h, w)
gt = np.zeros((h, w), dtype=np.float32)
# gt = np.zeros((1, h, w), dtype=np.float32)
mask = np.ones((h, w), dtype=np.float32)
for i in range(len(text_polys)):
polygon = text_polys[i]
......
......@@ -39,10 +39,7 @@ class TextDetector(object):
self.args = args
self.det_algorithm = args.det_algorithm
pre_process_list = [{
'DetResizeForTest': {
'limit_side_len': args.det_limit_side_len,
'limit_type': args.det_limit_type
}
'DetResizeForTest': None
}, {
'NormalizeImage': {
'std': [0.229, 0.224, 0.225],
......
......@@ -97,7 +97,7 @@ def main():
preds = model(images)
post_result = post_process_class(preds, shape_list)
boxes = post_result[0]['points']
# write resule
# write result
dt_boxes_json = []
for box in boxes:
tmp_json = {"transcription": ""}
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册